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Rapidly create and deploy powerful Java applications that integrate with BigCommerce Ecommerce Software

Integrate BigCommerce with External Services using SnapLogic



Use CData JDBC drivers in SnapLogic to integrate BigCommerce with External Services.

SnapLogic is an integration platform-as-a-service (iPaaS) that allows users to create data integration flows with no code. When paired with the CData JDBC Drivers, users get access to live data from more than 250+ SaaS, Big Data and NoSQL sources, including BigCommerce, in their SnapLogic workflows.

With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live BigCommerce data. When platforms issue complex SQL queries to BigCommerce, the driver pushes supported SQL operations, like filters and aggregations, directly to BigCommerce and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations). Its built-in dynamic metadata querying lets you work with BigCommerce data using native data types.

Connect to BigCommerce in SnapLogic

To connect to BigCommerce data in SnapLogic, download and install the CData BigCommerce JDBC Driver. Follow the installation dialog. When the installation is complete, the JAR file can be found in the installation directory (C:/Program Files/CData/CData JDBC Driver for BigCommerce/lib by default).

Upload the BigCommerce JDBC Driver

After installation, upload the JDBC JAR file to a location in SnapLogic (for example, projects/Jerod Johnson) from the Manager tab.

Configure the Connection

Once the JDBC Driver is uploaded, we can create the connection to BigCommerce.

  1. Navigate to the Designer tab
  2. Expand "JDBC" from Snaps and drag a "Generic JDBC - Select" snap onto the designer
  3. Click Add Account (or select an existing one) and click "Continue"
  4. In the next form, configure the JDBC connection properties:
    • Under JDBC JARs, add the JAR file we previously uploaded
    • Set JDBC Driver Class to cdata.jdbc.bigcommerce.BigCommerceDriver
    • Set JDBC URL to a JDBC connection string for the BigCommerce JDBC Driver, for example:

      jdbc:bigcommerce:OAuthClientId=YourClientId; OAuthClientSecret=YourClientSecret; StoreId='YourStoreID'; CallbackURL='http://localhost:33333'RTK=XXXXXX;InitiateOAuth=GETANDREFRESH

      NOTE: RTK is a trial or full key. Contact our Support team for more information.

      Built-In Connection String Designer

      For assistance in constructing the JDBC URL, use the connection string designer built into the BigCommerce JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

      java -jar cdata.jdbc.bigcommerce.jar

      Fill in the connection properties and copy the connection string to the clipboard.

      BigCommerce authentication is based on the standard OAuth flow. To authenticate, you must initially create an app via the Big Commerce developer platform where you can obtain an OAuthClientId, OAuthClientSecret, and CallbackURL. These three parameters will be set as connection properties to your driver.

      Additionally, in order to connect to your BigCommerce Store, you will need your StoreId. To find your Store Id please follow these steps:

      1. Log in to your BigCommerce account.
      2. From the Home Page, select Advanced Settings > API Accounts.
      3. Click Create API Account.
      4. A text box named API Path will appear on your screen.
      5. Inside you can see a URL of the following structure: https://api.bigcommerce.com/stores/{Store Id}/v3.
      6. As demonstrated above, your Store Id will be between the 'stores/' and '/v3' path paramters.
      7. Once you have retrieved your Store Id you can either click Cancel or proceed in creating an API Account in case you do not have one already.
  5. After entering the connection properties, click "Validate" and "Apply"

Read BigCommerce Data

In the form that opens after validating and applying the connection, configure your query.

  • Set Schema name to "BigCommerce"
  • Set Table name to a table for BigCommerce using the schema name, for example: "BigCommerce"."Customers" (use the drop-down to see the full list of available tables)
  • Add Output fields for each item you wish to work with from the table

Save the Generic JDBC - Select snap.

With connection and query configured, click the end of the snap to preview the data (highlighted below).

Once you confirm the results are what you expect, you can add additional snaps to funnel your BigCommerce data to another endpoint.

Piping BigCommerce Data to External Services

For this article, we will load data in a Google Spreadsheet. You can use any of the supported snaps, or even use a Generic JDBC snap with another CData JDBC Driver, to move data into an external service.

  1. Start by dropping a "Worksheet Writer" snap onto the end of the "Generic JDBC - Select" snap.
  2. Add an account to connect to Google Sheets
  3. Configure the Worksheet Writer snap to write your BigCommerce data to a Google Spreadsheet

You can now execute the fully configured pipeline to extract data from BigCommerce and push it into a Google Spreadsheet.

Piping External Data to BigCommerce

As mentioned above, you can also use the JDBC Driver for BigCommerce in SnapLogic to write data to BigCommerce. Start by adding a Generic JDBC - Insert or Generic JDBC - Update snap to the dashboard.

  1. Select the existing "Account" (connection) or create a new one
  2. Configure the query:
    • Set Schema name to "BigCommerce"
    • Set Table name to a table for BigCommerce using the schema name, for example: "BigCommerce"."Customers" (use the drop-down to see the full list of available tables)
  3. Save the Generic JDBC - Insert/Update snap

At this point, you have configured a snap to write data to BigCommerce, inserting new records or updating existing ones.

More Information & Free Trial

Using the CData JDBC Driver for BigCommerce you can create a pipeline in SnapLogic for integrating BigCommerce data with external services. For more information about connecting to BigCommerce, check at our CData JDBC Driver for BigCommerce page. Download a free, 30 day trial of the CData JDBC Driver for BigCommerce and get started today.